{"id":"W4312178128","doi":"10.18280/ria.360513","title":"Shadow Detection and Elimination Technique for Vehicle Detection","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shadow (psychology); Computer vision; Artificial intelligence; Computer science; Object detection; Segmentation; Image warping; Similarity (geometry); Image processing; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002658156,0.0006439713,0.0006834196,0.001091232,0.0004946148,0.0004920264,0.00076021,0.0005933498,0.00375091],"category_scores_gemma":[0.0008331541,0.0002813916,0.000854958,0.0008349447,0.000414762,0.001004471,0.0006844632,0.0009656068,0.001849087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005151331,"about_ca_system_score_gemma":0.000857091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003322541,"about_ca_topic_score_gemma":0.003311065,"domain_scores_codex":[0.9995114,0.00003560734,0.00001955354,0.000110028,0.0002591684,0.00006435813],"domain_scores_gemma":[0.9996494,0.00005743667,0.00003267155,0.00005806896,0.0001826727,0.00001980802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002303866,0.00009872245,0.001602776,0.0002429998,0.00006745601,0.000353392,0.0001721922,0.01901614,0.1356435,0.007379786,0.01047489,0.8247178],"study_design_scores_gemma":[0.00004575974,0.0002878422,0.004881547,0.00005469396,0.0001343941,0.001866049,0.0001685705,0.6985359,0.232871,0.007215442,0.05385448,0.00008434986],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02280902,0.001628197,0.967035,0.0002681337,0.0002471198,0.00009284746,0.000107018,0.001868943,0.005943737],"genre_scores_gemma":[0.409482,0.003204308,0.5621567,0.0004683163,0.0002399609,0.000144935,0.000805808,0.000255287,0.0232426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00375091,"threshold_uncertainty_score":0.01254809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125936294131046,"score_gpt":0.2313973465863917,"score_spread":0.2101379836450812,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}